DATA SCIENTIST Resume RTP, NORTH CAROLINA - Hire IT People

OBJECTIVE:

Seeking a data science and analytics position where I could implement skills and experiences that I have gained through, and experience to uncover insights, make accurate predictions and improvements that will guarantee organization success while learning new experiences.

TECHNICAL SKILLS:

Technology and Tools: SQL, SPARQL, web Prot g, OWL/RDF, SQL, Git(Hub) Semantic Web/Linked data RESTful API, JSON, Cloud Computing, ETL, SPSS R, Python, GATENLP Data (Text) Mining & Analysis, Minitab, Excel Machine Learning, Java IBM Rational Rose, Tensor Flow, R shiny, Tableau Bayesian Network, Knowledge Management Software Project Management, Agile Hadoop & AzureML

PROFESSIONAL EXPERIENCE:

DATA SCIENTIST

Confidential, RTP, NORTH CAROLINA

Responsibilities:

Acquire, clean structure and unstructured data from multiple sources and maintain databases/data systems. Applied GATENLP for text mining and natural language processing. Develop semantic data modeling with web protégé and ensured data quality and algorithm optimization.
Identify, analyze, and interpret patterns in complex data sets with knowledge graph, linked data, semantic web technology and RDF/OWL Ontology.
Construct Machine learning algorithms to predict, classify, and quantify uncertainty in recommender systems. Develop and implement data collection systems that optimize prediction and relevance accuracy in a recommendation system. Implement semantic technology in developing Chabot AI.
Interpret data, analyze results with statistical learning and provide ongoing provide data visualization and executive summary reports. Monitoring cloud performance and analytics and perform web service testing with REST API.

Software engineer

Confidential

Responsibilities:

Developed and deployed Machine learning as a service on a Microsoft Azure cloud service (IaaS, SaaS, PaaS).
Understanding of service oriented architecture, REST API cloud management, Federated identity management, provisioning and virtualization. Cloud pricing and migration and usage management
Build model with machine learning algorithm (PCA, Ensemble, support vector machine, single value decomposition, decision tree, LASSO, multiclass regression, elastic nets) to predict, classify and cluster data.
Collaborate with agile project team to transform business requirements into implementable software design leveraging on best practices.
Developed test plan, Test documentation, test scripts and test cases, test strategies, Test Web services with REST API.
Perform usability testing, user acceptance testing, functional and regression testing.

Manager, Maintenance & predicitive ANALYTIC

Confidential

Responsibilities:

Led engineers and maintenance technicians to optimize machine efficiency and reliability. Implemented Advanced Statistical tool, design of experiment, statistical modelling, and Lean thinking to reduce automated machine(robot) failure by 65% and improved reliability by 45%. These resulted into consistent 95% overall equipment efficiency and $3.6M cost saved annually. Performed failure mode & effect analysis, HALT/HASS testing, maintained FRACAS report. Managed projects and championed predictive maintenance, TPM and reliability centered maintenance.
Implemented feature selection, natural language processing and semantic ontology to create electrical fault diagnostic RDF graph and anomaly detection for electrical PLC drives, sensors, and power, pneumatic and hydraulic systems from CMMS database.

QUALITY & AUTOMATION ANALYST

Confidential

Responsibilities:

Implemented lean six sigma, SAP, value stream mapping, risk analysis, corrective and preventive action to improve and optimize process quality.
Led design for quality, Kaizen Improvement initiatives and statistical hypothesis and process control. Tracked quality metrics, Troubleshoot, Tracked & documented defects, performed automation testing, Mined & Analyzed data. Championed defects root cause analysis and recommended corrective actions. Presented data in dashboard.

RELIABILITY & QUALITY ENGINEER

Confidential

Responsibilities:

Led reliability data analysis with failure modes and effect analysis, failure reporting, analysis and corrective action, root cause failure analysis, design of experiment, hypothesis testing, and reliability modeling and prediction. Performed accelerated testing and Implemented Weibull software and statistical methods for life data analysis. Performed IQ, OQ, PQ and verification.

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Data Scientist Resume

Rtp North, CarolinA

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